Data

DEA Mangroves (Landsat) Version 4.0.0

Geoscience Australia
Lymburner, L. ; Lucas, R. ; Scarth, P. ; Alam, I. ; Phillips, C. ; Ticehurst, C. ; Held, A. ; Bunting, P.
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26186/150571&rft.title=DEA Mangroves (Landsat) Version 4.0.0&rft.identifier=10.26186/150571&rft.publisher=Commonwealth of Australia (Geoscience Australia)&rft.description=Digital Earth Australia (DEA) Mangroves classifies mangrove canopy cover density across Australia’s coastal ecosystems using 35+ years of Landsat data (1987–present) at 30-meter resolution. Each annual map contains one layer (band) canopy_cover_class, with values defined as follows:Not observed — 0: insufficient observations per year to determine if mangroves existWoodland 20-50% — 1: mangroves present with Planimetric Canopy Cover Percentage (PCC%) between 20% and 50%Open forest 50-80% — 2: mangroves present with PCC% between 50% and 80%Closed forest 80-100%  — 3: mangroves present with PCC% above 80%No data  — 255: no mangroves present, either PCC% below 20% or outside mangrove habitatLink to data: https://data.dea.ga.gov.au/?prefix=derivative/ga_ls_mangrove_cover_cyear_3/4-0-0/Link to DEA Knowledge Hub: https://knowledge.dea.ga.gov.au/data/product/dea-mangroves/Maintenance and Update Frequency: annuallyStatement: The mangrove footprint is defined by combining the maximum spatial extent from two sources:- Global Mangrove Watch layers developed by the Japanese Aerospace Exploration Agency- State and Territory mangrove mapping products from Queensland, Northern Territory, and South AustraliaThis potential mangrove habitat is then refined using DEA Tasseled Cap Percentiles (specifically the wet_pc_10 band).Mangrove canopy classification is performed using DEA Fractional Cover Percentiles bands:- pixels are classified by thresholding pv_pc_10 values (which serve as a proxy for PCC%) when quality assurance flag qa=2- pixels are marked as Not observed when quality assurance flag qa=1Note: The maximum spatial extent remains consistent across all product versions. However, the mangrove habitat refinement and classification thresholds are updated and recalibrated for each version.The product development follows a three-stage methodology:1: Determine the maximum spatial extent of mangrovesEstablish the potential mangrove area by combining mangrove maps from multiple time periods (1996, 2007-2010, and 2015/16) generated through the Japanese Aerospace Exploration Agency (JAXA) Global Mangrove Watch (GMW).Refine this combined map using State and Territory mangrove mapping products.2: Calibrate thresholding values for mangrove canopy cover classesExtract Planimetric Canopy Cover Percentage (PCC%) from high-resolution Light Detection and Ranging (LiDAR) data (1 m resolution).Perform regression analysis between satellite-derived pv_pc_10 values and LiDAR-derived PCC% for corresponding locations and time periods.Determine the specific pv_pc_10 threshold values that correspond to 20%, 50%, and 80% PCC% levels.3: Classify mangrove canopy densityRefine the mangrove footprint by applying wet_pc_10 thresholds within the maximum spatial extent established in Stage 1.Classify pixels within the refined mangrove footprint by applying the calibrated pv_pc_10 threshold values (from Stage 2) to assign appropriate canopy cover classes.Assign Not observed classification to pixels where the quality assurance flag qa=1 indicates insufficient data quality.Stage 1 is performed only once during initial product development to establish the spatial extent.Stage 2 is performed during major version upgrades to recalibrate thresholds.Stage 3 is performed annually using the established thresholds to generate each year’s map.&rft.creator=Lymburner, L. &rft.creator=Lucas, R. &rft.creator=Scarth, P. &rft.creator=Alam, I. &rft.creator=Phillips, C. &rft.creator=Ticehurst, C. &rft.creator=Held, A. &rft.creator=Bunting, P. &rft.date=2026&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00&rft.coverage=westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=(c) Commonwealth of Australia (Geoscience Australia) 2025&rft_rights=Australian Government Security Classification System https://www.protectivesecurity.gov.au/publications-library/policy-8-classification-system&rft_subject=geoscientificInformation&rft_subject=Mangroves&rft_subject=Mangrove canopy classification&rft_subject=Conservation&rft_subject=Management&rft_subject=Coastal protection&rft_subject=Canopy Cover&rft_subject=Landsat satellite&rft_subject=DEA – Digital Earth Australia&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

(c) Commonwealth of Australia (Geoscience Australia) 2025

Australian Government Security Classification System
https://www.protectivesecurity.gov.au/publications-library/policy-8-classification-system

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Full description

Digital Earth Australia (DEA) Mangroves classifies mangrove canopy cover density across Australia’s coastal ecosystems using 35+ years of Landsat data (1987–present) at 30-meter resolution.

Each annual map contains one layer (band) canopy_cover_class, with values defined as follows:
Not observed — 0: insufficient observations per year to determine if mangroves exist
Woodland 20-50% — 1: mangroves present with Planimetric Canopy Cover Percentage (PCC%) between 20% and 50%
Open forest 50-80% — 2: mangroves present with PCC% between 50% and 80%
Closed forest 80-100%  — 3: mangroves present with PCC% above 80%
No data  — 255: no mangroves present, either PCC% below 20% or outside mangrove habitat


Link to data: https://data.dea.ga.gov.au/?prefix=derivative/ga_ls_mangrove_cover_cyear_3/4-0-0/
Link to DEA Knowledge Hub: https://knowledge.dea.ga.gov.au/data/product/dea-mangroves/

Lineage

Maintenance and Update Frequency: annually
Statement:
The mangrove footprint is defined by combining the maximum spatial extent from two sources:
- Global Mangrove Watch layers developed by the Japanese Aerospace Exploration Agency
- State and Territory mangrove mapping products from Queensland, Northern Territory, and South Australia

This potential mangrove habitat is then refined using DEA Tasseled Cap Percentiles (specifically the wet_pc_10 band).

Mangrove canopy classification is performed using DEA Fractional Cover Percentiles bands:
- pixels are classified by thresholding pv_pc_10 values (which serve as a proxy for PCC%) when quality assurance flag qa=2
- pixels are marked as Not observed when quality assurance flag qa=1

Note: The maximum spatial extent remains consistent across all product versions. However, the mangrove habitat refinement and classification thresholds are updated and recalibrated for each version.

The product development follows a three-stage methodology:

1: Determine the maximum spatial extent of mangroves
Establish the potential mangrove area by combining mangrove maps from multiple time periods (1996, 2007-2010, and 2015/16) generated through the Japanese Aerospace Exploration Agency (JAXA) Global Mangrove Watch (GMW).
Refine this combined map using State and Territory mangrove mapping products.

2: Calibrate thresholding values for mangrove canopy cover classes
Extract Planimetric Canopy Cover Percentage (PCC%) from high-resolution Light Detection and Ranging (LiDAR) data (1 m resolution).
Perform regression analysis between satellite-derived pv_pc_10 values and LiDAR-derived PCC% for corresponding locations and time periods.
Determine the specific pv_pc_10 threshold values that correspond to 20%, 50%, and 80% PCC% levels.

3: Classify mangrove canopy density
Refine the mangrove footprint by applying wet_pc_10 thresholds within the maximum spatial extent established in Stage 1.
Classify pixels within the refined mangrove footprint by applying the calibrated pv_pc_10 threshold values (from Stage 2) to assign appropriate canopy cover classes.
Assign Not observed classification to pixels where the quality assurance flag qa=1 indicates insufficient data quality.

Stage 1 is performed only once during initial product development to establish the spatial extent.
Stage 2 is performed during major version upgrades to recalibrate thresholds.
Stage 3 is performed annually using the established thresholds to generate each year’s map.

Notes

Purpose
This dataset provides annual mangrove canopy density information across Australia’s entire coastline since 1987, offering valuable insights into ecosystem dynamics. The timeseries capabilities enable effective monitoring and quantification of mangrove canopy cover changes, supporting important conservation and management decisions. The extensive spatial and temporal coverage provides opportunities to understand how mangroves respond to major disturbance events such as severe tropical cyclones. These maps enhance our understanding of the vital ecosystem services that mangroves provide, including coastal protection, carbon storage, nursery grounds for commercially important fish and prawn species, and habitat for migratory and endemic bird species.

Issued: 23 09 2025

Data time period: 1987-01-01

This dataset is part of a larger collection

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154,-9 154,-44 112,-44 112,-9 154,-9

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text: westlimit=112.00; southlimit=-44.00; eastlimit=154.00; northlimit=-9.00

Subjects
Canopy Cover | Coastal protection | Conservation | DEA – Digital Earth Australia | EARTH SCIENCES | Landsat satellite | Management | Mangrove canopy classification | Mangroves | geoscientificInformation |

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Other Information
ga_ls_mangrove_cover_cyear_3/4-0-0 (Link to Data)

url : https://data.dea.ga.gov.au/?prefix=derivative/ga_ls_mangrove_cover_cyear_3/4-0-0/

Link to DEA Kowledge Hub

url : https://knowledge.dea.ga.gov.au/data/product/dea-mangroves/

Identifiers